Triple

T17442559
Position Surface form Disambiguated ID Type / Status
Subject Písek E424693 entity
Predicate hasLandmark P105 FINISHED
Object Otava riverfront E386566 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Otava riverfront | Statement: [Písek, hasLandmark, Otava riverfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otava riverfront
Context triple: [Písek, hasLandmark, Otava riverfront]
  • A. Otava chosen
    Otava is a major river in the Czech Republic that flows through southwestern Bohemia and is known for its scenic valleys, historical towns, and popularity for canoeing and recreation.
  • B. Otava
    Otava is a major Finnish publishing company known for producing a wide range of literature, non-fiction, and educational materials.
  • C. Porvoo River Valley
    Porvoo River Valley is a scenic river landscape in southern Finland known for its historic wooden town views, cultural heritage, and natural beauty surrounding the city of Porvoo.
  • D. Savonlinna
    Savonlinna is a Finnish lakeside city in the Saimaa lake district, best known for its medieval Olavinlinna Castle and annual international opera festival.
  • E. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff82bbc819095dd0621137da809 completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff63d688190b8fa63c8edafc01c completed May 11, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:47 a.m.